Notice that the last page of a lecture repeats in the next lecture. Notice that there may be mistakes. Trust your good sence and judgment.

Semester A:

• lecture 1 - 24.10.06 (Sequence alignment)
• lecture 2 - 31.10.06 (Space effective alignment, Local alignment)
• lecture 3 - 7.11.06 (Alignment scoring)
• lecture 4 - 14.11.06 (Significance)
• lecture 5 - 21.11.06 (Multiple alignment, Profile alignment, Bayesian inference, Dirichlet prior)
• lecture 6 - 28.11.06 (Cont', Mixture priors, Profile)
• lecture 7 - 5.12.06 (Information theory. Lesson with Moran)
• lecture 8 - 12.12.06 (HMM - Hidden Marcov Model)
• lecture 9 - 19.12.06 (Learning HMM, Gradient ascent, EM algorithm)
• lecture 10 - 26.12.06 (Motif discovery)
• lecture 11 - 2.1.07 (Phylogenetics, Evolution, UPGMA algorithm)
• lecture 12 - 9.1.07 (Cont')
• lecture 13 - 16.1.07 (Cont', Branch and Bound)

• lecture 14 - 6.3.07 (Marcov Chain Monte Carlo, Gibbs sampling)
• lecture 15 - 12.3.07 (Mixing time, Back to trees, Backwards algorithm)
• lecture 16 - 13.3.07 (Cont')
• lecture 17 - 19.3.07 (Cont', Rate of evolution)
• lecture 18 - 20.3.07 (Microarrays, Gene expression)
• lecture 19 - 26.6 (More about Microarray)
• lecture 20 - 27.6 (Help for exercise)
• lecture 21 - 28.5.07 (What more can we do with Microarrays?)
• lecture 22 - 29.5.07 (Gene expression, Supervised analysis, Validation)
• lecture 23 - 4.6.07 (Cont. Wilcoxon-Cox. Annotations)
• lecture 24 - 5.6.07 (Unsupervised analysis)
• lecture 25 - 11.6.07 (Two side clustering, Biclustering)
• lecture 26 - 12.6.07 (Networks, Transcriptional networks)
• lecture 27 - 13.6.07 (Cont.)
• lecture 28 - 18.6.07 (Evolution of networks, Protein-protein interaction networks)
• lecture 29 - 19.6.07 (Dana's lecture notes)
• lecture 30 - 20.6.07 (RNA secondary structure)
• lecture 31 - 25.6.07 (Protein folding, ROSETA. Lesson with Ora)

extra data:

• PDF file containing all lectures, edited by Matan